A Federated Learning Anomaly Detection Approach for IoT Environments

Computer Science

• Internet of Things 100%
• Federated Learning 100%
• Anomaly Detection 100%
• Collected Data 20%
• Anomalous Behavior 20%
• Home Environment 20%
• Machine Learning 10%
• Traditional Method 10%
• Smart Device 10%
• Security Concern 10%
• Data Sharing 10%
• Detection Performance 10%
• Performance Model 10%
• Communication Overhead 10%
• Training Model 10%
• Learning Parameter 10%
• Parameter Value 10%

Keyphrases

• Data Training 20%